Data Engineer for Autonomous Driving Data Cloud
Role: Data Engineer for Autonomous Driving Data Cloud
Location: Newark, CA
Contract: W2
Note: No C2C is accepted
We are currently seeking an experienced Big Data Engineer to help building up our large-scale data management system for the ADAS / Autonomous Driving team. This field allows contributions on various levels around the data pipeline and data processing, data annotation, machine learning, data ingestion, data pre-processing, integration of Deep Neural Network frameworks, efficient data search and high performance data manipulation.
The Role:
• Work with a state-of-the-art data pipeline on the development and test process of the ADAS/AD features
• Enable efficient data (pre-)processing in our cloud infrastructure
• Contribute to the architecture and implementation of an efficient data ingestion process to transfer and store large-scale vehicle sensor data from our Lucid Air/Gravity test vehicles efficiently into our data storage
• Help to optimize the data storage, search and data processing based on a diverse mix of storage solutions, caching techniques and big data frameworks.
• Contribute to the implementation of a secure distributed data access solution for data on-premise and via cloud providers to connect Lucid data with service providers and partners
• Work with machine learning experts, testing engineers and software developers to solve challenging development problems
Qualifications:
• Knowledge of database systems, big data concepts and cluster computing frameworks (e.g. Spark, Hadoop, or other tools)
• Excellence in C++, Python, Java or other related programming languages
• Previous experience with big data applications or back-end software development
• Experience with machine learning, data engineering, deep learning frameworks and related open-loop testing techniques
• Strong communication skills
Education:
• BS minimum in the areas of Computer Science/Engineering, Data Engineering or other related fields
• 4+ years of work experience or a PhD in a related field
• Advanced degrees preferred
Role: Data Engineer for Autonomous Driving Data Cloud
Location: Newark, CA
Contract: W2
Note: No C2C is accepted
We are currently seeking an experienced Big Data Engineer to help building up our large-scale data management system for the ADAS / Autonomous Driving team. This field allows contributions on various levels around the data pipeline and data processing, data annotation, machine learning, data ingestion, data pre-processing, integration of Deep Neural Network frameworks, efficient data search and high performance data manipulation.
The Role:
• Work with a state-of-the-art data pipeline on the development and test process of the ADAS/AD features
• Enable efficient data (pre-)processing in our cloud infrastructure
• Contribute to the architecture and implementation of an efficient data ingestion process to transfer and store large-scale vehicle sensor data from our Lucid Air/Gravity test vehicles efficiently into our data storage
• Help to optimize the data storage, search and data processing based on a diverse mix of storage solutions, caching techniques and big data frameworks.
• Contribute to the implementation of a secure distributed data access solution for data on-premise and via cloud providers to connect Lucid data with service providers and partners
• Work with machine learning experts, testing engineers and software developers to solve challenging development problems
Qualifications:
• Knowledge of database systems, big data concepts and cluster computing frameworks (e.g. Spark, Hadoop, or other tools)
• Excellence in C++, Python, Java or other related programming languages
• Previous experience with big data applications or back-end software development
• Experience with machine learning, data engineering, deep learning frameworks and related open-loop testing techniques
• Strong communication skills
Education:
• BS minimum in the areas of Computer Science/Engineering, Data Engineering or other related fields
• 4+ years of work experience or a PhD in a related field
• Advanced degrees preferred
